How do intelligence tests measure reasoning, learning, and problem-solving skills?

Intelligence tests measure reasoning, learning, and problem-solving skills by assessing an individual's capacity to make abstractions, learn from experience, and handle novel situations. These tests often include tasks that require judgment, comprehension, and reasoning abilities.12

Cognitive theories of intelligence suggest that these abilities stem from mental representations and the processes that operate on them. Researchers analyze the speed and clarity of these processes. For instance, a verbal analogy question like "audacious is to pusillanimous as mitigate is to ___" can reveal reasoning skills, but also highlights the importance of vocabulary. A poor score might indicate weak reasoning or a limited vocabulary, which cognitive analysis can help differentiate.3

Problem-solving skills are assessed through tasks that require systematic searching for solutions. In artificial intelligence, this is characterized as a search through possible actions to reach a goal. This can involve general-purpose techniques like means-end analysis, where the difference between the current state and the goal is incrementally reduced.4

Learning and memory are also evaluated. For example, some cognitive tasks involve rapid retrieval of information from memory, such as identifying letter names. The time taken to perform such tasks can be related to verbal abilities and overall intelligence test scores. Tests like the Stanford-Binet and Wechsler scales incorporate a variety of problems designed to tap into these diverse cognitive skills.31